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Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

28 January 2021
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
ArXivPDFHTML

Papers citing "Exploring Cross-Image Pixel Contrast for Semantic Segmentation"

31 / 81 papers shown
Title
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
196
8,867
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
319
26,241
0
05 Sep 2017
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
SSeg
140
142
0
15 Aug 2017
Semantic Instance Segmentation with a Discriminative Loss Function
Semantic Instance Segmentation with a Discriminative Loss Function
Bert De Brabandere
D. Neven
Luc Van Gool
SSeg
129
443
0
08 Aug 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
148
8,425
0
17 Jun 2017
Semantic Instance Segmentation via Deep Metric Learning
Semantic Instance Segmentation via Deep Metric Learning
Alireza Fathi
Z. Wojna
V. Rathod
Peng Wang
Hyun Oh Song
S. Guadarrama
Kevin Patrick Murphy
SSeg
43
203
0
30 Mar 2017
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
107
1,377
0
12 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
60
1,454
0
07 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
323
11,941
0
04 Dec 2016
RMPE: Regional Multi-person Pose Estimation
RMPE: Regional Multi-person Pose Estimation
Haoshu Fang
Shuqin Xie
Yu-Wing Tai
Cewu Lu
3DH
102
1,583
0
01 Dec 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
95
520
0
24 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
232
2,835
0
20 Nov 2016
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
16
58
0
26 Aug 2016
Deep Learning Markov Random Field for Semantic Segmentation
Deep Learning Markov Random Field for Semantic Segmentation
Ziwei Liu
Xiaoxiao Li
Ping Luo
Chen Change Loy
Xiaoou Tang
3DV
57
160
0
23 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
168
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
289
37,704
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
616
11,540
0
06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
128
2,965
0
30 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
64
1,012
0
22 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
183
8,421
0
23 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
96
1,316
0
10 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
145
2,777
0
19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.1K
76,547
0
18 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
266
13,079
0
12 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
160
2,533
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
860
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.0K
39,383
0
01 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
OOD
SSL
58
1,018
0
26 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
237
43,290
0
01 May 2014
Learning Fine-grained Image Similarity with Deep Ranking
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang
Yang Song
Thomas Leung
C. Rosenberg
Jingbin Wang
James Philbin
Bo Chen
Ying Nian Wu
SSL
72
1,315
0
17 Apr 2014
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